Qualcomm Incorporated

Dallas Wiener

Vijayalakshmi Rajasundaram Raveendran

Saumitra Mohan Das

Shekhar Yeshwant Borkar

Giridhar Dhati Mandyam

Nayeem Islam

Sudha Anil Kumar Gathala

Justin Joseph Rosen Gagne

Gabriel Moura Da Silva

Kabir Kasargod

Harold Gilkey

Peter Belding

Tara Abernathy

Laura Hart

Eric Trexel

Hugo Romero

Rahshel Brown

Systems, methods and computer-readable mediums may use intrinsic behavior of an integrated circuit (IC) chip to generate Physically Unclonable Function (PUF) vector bits. A processor of the system may be configured to receive a plurality of temperature values corresponding to a plurality of respective temperature measurement values obtained by a plurality of respective temperature sensors disposed on the IC chip. The processor may be further configured to process the temperature measurement values to generate PUF vector bits that can be used to generate a security key.

Using intrinsic chip behaviors to generate physically unclonable functions (PUFs) for security key generation

Disclosed is a mobile device to authenticate a user. The mobile device may comprise: a first sensor; a second sensor to use more power than the first sensor; and a processor coupled to the first sensor and the second sensor. The processor may be configured to: collect data from the first sensor; determine if an environmental change occurred based on the collected data from the first sensor; engage the second sensor to collect data if the environmental change occurred; and modify a polling rate for the second sensor based on the collected data from the second sensor.

Mobile device to provide continuous authentication based on contextual awareness

Methods, and computing devices implementing the methods, that enable client computing devises to work in conjunction with a server device to identify and temporarily defend against non-benign applications (e.g., malware, etc.) and other threats before a more permanent solution or defense (e.g., a patch or software upgrade) becomes available and installed on the client computing device. The server device may be configured to receive reports from the client computing devices, receive threat feeds from third-party servers (e.g., threat intelligence servers, etc.), and use information included in the received threat feed and information included in the received reports to analyze, in the server computing device, a software application that is operating on a client device in multiple passes. The server may generate threat scores (e.g., one for each pass, etc.), and the threat scores to the client computing device for use in devising a customized security response.

Methods and systems for on-device real-time adaptive security based on external threat intelligence inputs

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San Diego, CA, United States of America

Dallas Wiener